3 papers
cs.IR2026
MISO: Model-Internal-State-Guided Optimization for Ranking Models
Yongzhe Zhang, Xiaoyu Deng, Yifan He +29
Ranking models are repeatedly refined within established model families, yet the choice of which component to scale, replace, or retire is often guided by expensive trial-and-error…
cs.CL2024
Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale
Flavio Di Palo, Prateek Singhi, Bilal Fadlallah
Large Language Models (LLMs) face significant challenges at inference time due to their high computational demands. To address this, we present Performance-Guided Knowledge Distill…
cs.SI2024
Frustrated Random Walks: A Fast Method to Compute Node Distances on Hypergraphs
Enzhi Li, Scott Nickleach, Bilal Fadlallah
A hypergraph is a generalization of a graph that arises naturally when attribute-sharing among entities is considered. Compared to graphs, hypergraphs have the distinct advantage t…